한국통신학회논문지 (The Journal of Korean Institute of Communications and Information Sciences)

  • 제40권7호
  • /
  • Pages.1234-1238
  • /
  • 2015
  • /
  • 1226-4717(pISSN)
  • /
  • 2287-3880(eISSN)
한국통신학회 (The Korean Institute of Commucations and Information Sciences)
권호 표지
DOI QR코드

DOI QR Code

인지 무선 네트워크에서 Sub-Nyquist 샘플링을 활용한 협력 스펙트럼 센싱 기법

Cooperative Spectrum Sensing Utilizing Sub-Nyquist Sampling in Cognitive Radio Networks

  • Jung, Honggyu (School of Electronic Engineering, Soongsil University) ;
  • Kim, Kwangyul (School of Electronic Engineering, Soongsil University) ;
  • Shin, Yoan (School of Electronic Engineering, Soongsil University)
  • 투고 : 2015.06.18
  • 심사 : 2015.07.06
  • 발행 : 2015.07.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 논문에서는 Sub-Nyquist 샘플링 기반의 협력 스펙트럼 센싱 기법을 제안한다. 최근 압축 센싱 (Compressive Sensing) 기술이 많은 주목을 받으면서 원본 신호의 성긴 정도 (Sparsity)를 추정하는 기법도 활발히 연구되고 있다. 따라서 본 논문에서는 주파수 대역의 Sparsity를 안다고 가정할 때 다양한 샘플링율과 협력 센싱 기법에 따른 Sub-Nyquist 샘플링 기법의 검출 성능을 수학적으로 분석한다. 또한 모의실험 결과를 통해 제안된 기법의 성능을 입증한다.

We propose cooperative spectrum sensing schemes based on sub-Nyquist sampling. As compressed sensing has recently attracted great attention, sparsity order estimation techniques also has been widely investigated. Thus, assuming that the sparsity order of channel occupancy can be obtained, we mathematically analyze the detection performance of sub-Nyquist sampling schemes according to various sampling rates and cooperative spectrum sensing schemes. Simulation results verify the performance of the proposed schemes.

키워드

참고문헌

  1. C. P. Yen, Y. Tsai, and X. Wang, "Wideband spectrum sensing based on Sub-Nyquist sampling," IEEE Trans. Signal Process., vol. 61, no. 12, pp. 3028-3040, Jun. 2013. https://doi.org/10.1109/TSP.2013.2251342
  2. H. Sun, A. Nallanathan, S. Cui, and C. X. Wang, "Cooperative wideband spectrum sensing over fading channels," IEEE Trans. Veh. Technol., vol. PP, no. 99, Feb. 2015.
  3. W. Zhang, R. K. Mallik, and K. B. Letaief, "Cooperative spectrum sensing optimization in cognitive radio networks," Proc. IEEE ICC 2008, pp. 3411-3415, Beijing, China, May 2008.
  4. Y. Wang, Z. Tian, and C. Feng, "Sparsity order estimation and its application in compressive spectrum sensing for cognitive radios," IEEE Trans. Wirel. Commun., vol. 11, no. 6, pp. 2116-2125, Jun. 2012. https://doi.org/10.1109/TWC.2012.050112.110505
  5. S. K. Sharma, S. Chatzinotas, and B. Ottersten, "Compressive sparsity order estimation for wideband cognitive radio receiver," IEEE Trans. Signal Process., vol. 62, no. 19, pp. 4984-4996, Oct. 2014. https://doi.org/10.1109/TSP.2014.2343949
  6. P. Peebles, Probability, Random Variables, and Random Signal Principles, Ch. 3, McGraw-Hill Science/Engineering/Math, 2000.

피인용 문헌

  1. 재난 무선통신을 위한 D2D 단말탐색 기반 주파수 자원 확보 기술 vol.41, pp.11, 2015, https://doi.org/10.7840/kics.2016.41.11.1440